A High-Efficient Measurement System With Optimization Feature for Prototype CMOS Image Sensors
In this paper, a gray-scale CMOS image sensor (CIS) characterization system with an optimization feature has been proposed. By using a very fast and precise control of light intensity, based on the pulsewidth-modulation method, it is avoided to measure the illuminance every time. These features accelerate the multicriteria CIS optimization requiring many thousands of measurements. The system throughput is 2.5 Gb/s, which allows for capturing images from large arrays of the size 3000 × 3000 pixels at the rate of 25 frames/s, or small arrays (128 × 128) at the rate of 15 000 frames/s. The efficient transfer of measurement data to the external software allows immediate presentation of optimization results in 3-D plots. The system automatically measures nonuniformity, spatial noise, temporal noise, signal-to-noise ratio, dynamic range, nonlinearity and image lag. A flat diffuser has been proposed as a cheaper alternative to an integrating sphere. This optical front-end is particularly useful for testing prototype CISs and vision-chips implemented in standard CMOS technologies as low- or ediumdynamic-range imagers.
0Web of Science
Miron Kłosowski, Jacek Jakusz, Waldemar Jendernalik, Grzegorz Blakiewicz, Stanisław Szczepański, Sławomir Kozieł. (2018). A High-Efficient Measurement System With Optimization Feature for Prototype CMOS Image Sensors, 67(10), 2363-2372. https://doi.org/10.1109/tim.2018.2814118
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